{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# matplotlib绘制柱状图和饼状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 柱状图--bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADN9JREFUeJzt3X+s3fVdx/Hna3ToxEVA7ipSriWhYSFmsHlDtkxNB25inGtVJFsWrdrkxsQtMy6ZbEuMRk1YZkSi+6cZ0/6BAkFJCS5zpNIQE4e0/JhAmSABRwO0U3BbZlw63v5xv2jFe3vOvfece8q7z0dCzvl+z/fs++bzx5Nvvuecu1QVkqTXvtfNegBJ0mQYdElqwqBLUhMGXZKaMOiS1IRBl6QmDLokNWHQJakJgy5JTWzayJOdd955tXXr1o08pSS95h06dOhrVTU36rgNDfrWrVs5ePDgRp5Skl7zkjwzznHecpGkJgy6JDVh0CWpCYMuSU0YdElqYqygJzk7ye1JHk9yOMk7kpyb5O4kTwyP50x7WEnSysa9Qr8R+EJVvRm4DDgMXAfsr6ptwP5hW5I0IyODnuT7gB8HbgKoqm9X1UvADmDvcNheYOe0hpQkjTbOFfpFwDHgz5I8mOSzSc4CNlfVc8MxzwObpzWkJGm0cX4pugl4G/DhqrovyY286vZKVVWSZf/fppMsAosA8/Pz6xxXkiYjBw5s2Llq+/YNOc84V+jPAs9W1X3D9u0sBf6FJOcDDI9Hl3tzVe2pqoWqWpibG/mnCCRJazQy6FX1PPDVJJcMu64CHgPuBHYN+3YB+6YyoSRpLOP+ca4PAzcnORN4CvgVlv5jcFuS3cAzwLXTGVGSNI6xgl5VDwELy7x01WTHkSStlb8UlaQmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1YdAlqQmDLklNGHRJasKgS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmDLokNbFpnIOSPA18A/gOcLyqFpKcC9wKbAWeBq6tqhenM6YkaZTVXKG/q6our6qFYfs6YH9VbQP2D9uSpBlZzy2XHcDe4fleYOf6x5EkrdW4QS/gi0kOJVkc9m2uqueG588Dm5d7Y5LFJAeTHDx27Ng6x5UkrWSse+jAj1bVkSRvAu5O8viJL1ZVJanl3lhVe4A9AAsLC8seI0lav7Gu0KvqyPB4FLgDuAJ4Icn5AMPj0WkNKUkabWTQk5yV5I2vPAfeAzwC3AnsGg7bBeyb1pCSpNHGueWyGbgjySvH/0VVfSHJ/cBtSXYDzwDXTm9MSdIoI4NeVU8Bly2z/9+Aq6YxlCRp9fylqCQ1YdAlqQmDLklNGHRJasKgS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1MXbQk5yR5MEkdw3bFyW5L8mTSW5Ncub0xpQkjbKaK/SPAIdP2P4UcENVXQy8COye5GCSpNUZK+hJtgA/DXx22A5wJXD7cMheYOc0BpQkjWfcK/Q/Bj4GvDxsfz/wUlUdH7afBS6Y8GySpFUYGfQk7wWOVtWhtZwgyWKSg0kOHjt2bC3/E5KkMYxzhf5O4H1JngZuYelWy43A2Uk2DcdsAY4s9+aq2lNVC1W1MDc3N4GRJUnLGRn0qvp4VW2pqq3A+4G/q6oPAvcA1wyH7QL2TW1KSdJI6/ke+m8Bv5nkSZbuqd80mZEkSWuxafQh/6uqDgAHhudPAVdMfiRJ0lr4S1FJasKgS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1YdAlqQmDLklNGHRJasKgS1ITI4Oe5LuT/GOSh5M8muR3h/0XJbkvyZNJbk1y5vTHlSStZJwr9P8Crqyqy4DLgauTvB34FHBDVV0MvAjsnt6YkqRRRga9lnxz2Hz98E8BVwK3D/v3AjunMqEkaSybxjkoyRnAIeBi4DPAvwAvVdXx4ZBngQtWeO8isAgwPz+/3nm1QXLgwIaer7Zv39DzSR2N9aFoVX2nqi4HtgBXAG8e9wRVtaeqFqpqYW5ubo1jSpJGWdW3XKrqJeAe4B3A2UleucLfAhyZ8GySpFUY51suc0nOHp6/AXg3cJilsF8zHLYL2DetISVJo41zD/18YO9wH/11wG1VdVeSx4Bbkvw+8CBw0xTnlCSNMDLoVfVl4K3L7H+KpfvpkqRTgL8UlaQmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1YdAlqQmDLklNGHRJasKgS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmRgY9yYVJ7knyWJJHk3xk2H9ukruTPDE8njP9cSVJKxnnCv048NGquhR4O/DrSS4FrgP2V9U2YP+wLUmakZFBr6rnquqB4fk3gMPABcAOYO9w2F5g57SGlCSNtqp76Em2Am8F7gM2V9Vzw0vPA5snOpkkaVU2jXtgku8F/gr4jar6epL/ea2qKkmt8L5FYBFgfn5+fdNKjeXAgQ07V23fvmHn0sYZ6wo9yetZivnNVfXXw+4Xkpw/vH4+cHS591bVnqpaqKqFubm5ScwsSVrGON9yCXATcLiq/uiEl+4Edg3PdwH7Jj+eJGlc49xyeSfwi8A/JXlo2PcJ4HrgtiS7gWeAa6czoiRpHCODXlV/D2SFl6+a7DiSpLXyl6KS1IRBl6QmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1YdAlqQmDLklNGHRJasKgS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmRgY9yeeSHE3yyAn7zk1yd5InhsdzpjumJGmUca7Q/xy4+lX7rgP2V9U2YP+wLUmaoZFBr6p7gX9/1e4dwN7h+V5g54TnkiSt0qY1vm9zVT03PH8e2LzSgUkWgUWA+fn5NZ4OcuDAmt+7FrV9+4aeT5LWa90filZVAXWS1/dU1UJVLczNza33dJKkFaw16C8kOR9geDw6uZEkSWux1qDfCewanu8C9k1mHEnSWo3ztcW/BP4BuCTJs0l2A9cD707yBPATw7YkaYZGfihaVR9Y4aWrJjyLJGkd/KWoJDVh0CWpCYMuSU0YdElqwqBLUhMGXZKaMOiS1IRBl6QmDLokNWHQJakJgy5JTRh0SWrCoEtSEwZdkpow6JLUhEGXpCYMuiQ1YdAlqQmDLklNGHRJasKgS1ITBl2SmjDoktSEQZekJgy6JDWxrqAnuTrJV5I8meS6SQ0lSVq9NQc9yRnAZ4CfAi4FPpDk0kkNJklanfVcoV8BPFlVT1XVt4FbgB2TGUuStFrrCfoFwFdP2H522CdJmoFN0z5BkkVgcdj8ZpKvTPucr3Ie8LXVvilTGOQ04XpvLNd74616zSew3j80zkHrCfoR4MITtrcM+/6PqtoD7FnHedYlycGqWpjV+U83rvfGcr033qm85uu55XI/sC3JRUnOBN4P3DmZsSRJq7XmK/SqOp7kQ8DfAmcAn6uqRyc2mSRpVdZ1D72qPg98fkKzTMvMbvecplzvjeV6b7xTds1TVbOeQZI0Af70X5KaaB/0JL+Q5NEkLyc5JT+Z7iTJp5M8nuTLSe5IcvasZ+ouye8N6/1Qki8m+cFZz3Q6SPLRJJXkvFnP8or2QQceAX4OuHfWg5wm7gZ+uKreAvwz8PEZz3M6+HRVvaWqLgfuAn571gN1l+RC4D3Av856lhNN/YdFGynJJ4FdwFGWfsV6qKr+cHhtlqO1dLL1HnwJuGYWs3U1xpqfBfjB2IScZL1vAD4G7JvheP9Pm6An+RGWvgt/OUv/Xg8Ah2Y6VGNjrvevArdu8GhtnWzNk/wB8EvAfwDvmtWMnay03kl2AEeq6uFT7UKx0y2XHwPuqKpvVdXX8UdO03bS9R6ubI4DN89iuKZWXPOq+mRVXcjSen9oVgM2s9x6fw/wCU7R21qdgq5TRJJfBt4LfLD8XuxGuxn4+VkP0VgBFwEPJ3mapT958kCSH5jpVINOQb8X2JnkDUneCPzMrAdqbtn1TnI1S/cW31dV35rlgA2ttObbTjhmB/D4LIZraLn1/s+qelNVba2qrSz9ldm3VdXzsxz0FW3uoVfVA0luBR5m6QOM+wGS/CzwJ8Ac8DdJHqqqn5zdpD2stN7AnwLfBdw93F/8UlX92mym7OUka359kkuAl4FnANd7Ak6y3qestr8UTfI7wDdf9Q0ATYnrvfFc8431WljvTrdcJOm01vYKXZJON16hS1ITBl2SmjDoktSEQZekJgy6JDVh0CWpif8GE2gPUIoWSvwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['q1', 'q2', 'q3', 'q4']\n",
    "y = [10, 30, 20, 60]\n",
    "plt.bar(x, y, color='c', width=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADt9JREFUeJzt3W+MpWdZx/Hvj1kq2EG3tTCs3cZt0qakIVDcSQMhmBkqWBXpqthAiK7aZGMihEQ2WCAxGiWBsBGJ8sINRfcFOm0am20qgs3KkZjYyk5pkVKwTaWyTUtFt8IBI+lw+WKeNWvZ3fNnzp/lnu8naeY8z7nvc197nSe/fXLPOdtUFZKk73/PmXcBkqTJMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5Jjdgxy8UuueSS2rNnzyyX5Fvf+hYXXnjhTNfczuz3bNnv2ZtHz9fX179eVS8cNG6mgb5nzx6OHz8+yyXp9XqsrKzMdM3tzH7Plv2evXn0PMljw4xzy0WSGmGgS1IjDHRJaoSBLkmNMNAlqRFDBXqSnUluT/KlJA8leVWSi5PcneTh7udF0y5WknR2w96hfxj4ZFW9BHg58BBwM3Csqq4EjnXHkqQ5GRjoSX4Y+AngFoCq+k5VPQ3cABzphh0B9k2rSEnSYMPcoV8O/DvwZ0k+l+SjSS4ElqrqiW7Mk8DStIqUJA2WQf+T6CTLwD3Aq6vq3iQfBr4BvL2qdp427mRVfc8+epIDwAGApaWlvWtra5Osf6B+v8/i4uJM19zO7Pds2e/xrff7Y83bvbHBiYWFkebs3eJ7tLq6ul5Vy4PGDRPoLwbuqao93fFr2NwvvwJYqaonkuwCelV11blea3l5ufzqf9vs92zZ7/Gl1xtr3qF+n4MjBnRt8T1KMlSgD9xyqaonga8mORXW1wFfBO4E9nfn9gNHx6xVkjQBw/7jXG8HPp7kAuBR4NfY/MvgtiQ3AY8BN06nREnSMIYK9Kq6HzjT7f51ky1HkjQuvykqSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpETuGGZTkK8A3gQ3gmapaTnIxcCuwB/gKcGNVnZxOmZKkQUa5Q1+tqmuqark7vhk4VlVXAse6Y0nSnGxly+UG4Ej3+Aiwb+vlSJLGlaoaPCj5V+AkUMCfVtXhJE9X1c7u+QAnTx0/a+4B4ADA0tLS3rW1tUnWP1C/32dxcXGma25n9nu27Pf41vv9sebt3tjgxMLCSHP2bvE9Wl1dXT9td+Sshg30S6vq8SQvAu4G3g7ceXqAJzlZVRed63WWl5fr+PHjg6ufoF6vx8rKykzX3M7s92zZ7/Gl1xtr3qF+n4MjBnRt8T1KMlSgD7XlUlWPdz+fAu4ArgW+lmRXt9gu4Knxy5UkbdXAQE9yYZIXnHoMvB74AnAnsL8bth84Oq0iJUmDDfOxxSXgjs1tcnYAf1FVn0zyWeC2JDcBjwE3Tq9MSdIgAwO9qh4FXn6G8/8BXDeNoiRJo/ObopLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUiKEDPclCks8luas7vjzJvUkeSXJrkgumV6YkaZBR7tDfATx02vEHgA9V1RXASeCmSRYmSRrNUIGeZDfws8BHu+MArwVu74YcAfZNo0BJ0nCGvUP/I+BdwHe74x8Bnq6qZ7rjE8ClE65NkjSCHYMGJHkD8FRVrSdZGXWBJAeAAwBLS0v0er1RX2JL+v3+zNfczuz3bNnv8R3q98eat3tjY+S5s3qPBgY68GrgjUl+Bnge8EPAh4GdSXZ0d+m7gcfPNLmqDgOHAZaXl2tlZWUSdQ+t1+sx6zW3M/s9W/Z7fKtjhuyhfp+Di4sjzakZvUcDt1yq6t1Vtbuq9gBvBv6uqt4KfBp4UzdsP3B0alVKkgbayufQfxv4rSSPsLmnfstkSpIkjWOYLZf/U1U9oNc9fhS4dvIlSZLG4TdFJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNWJgoCd5XpJ/SvJAkgeT/F53/vIk9yZ5JMmtSS6YfrmSpLMZ5g79f4DXVtXLgWuA65O8EvgA8KGqugI4Cdw0vTIlSYMMDPTa1O8On9v9V8Brgdu780eAfVOpUJI0lFTV4EHJArAOXAF8BPggcE93d06Sy4C/qaqXnmHuAeAAwNLS0t61tbXJVT+Efr/P4uLiTNdswXq/P3jQGeze2ODEwsLI8/b6Ho3F63t8s7zGt3p9r66urlfV8qBxO4Z5saraAK5JshO4A3jJsIVU1WHgMMDy8nKtrKwMO3Uier0es16zBau93ljzDvX7HBzj4i3fo7F4fY9vltf4rK7vkT7lUlVPA58GXgXsTHLqL4TdwOMTrk2SNIJhPuXywu7OnCTPB14HPMRmsL+pG7YfODqtIiVJgw2z5bILONLtoz8HuK2q7kryRWAtyR8AnwNumWKdkqQBBgZ6VX0eeMUZzj8KXDuNoiRJo/ObopLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUiIGBnuSyJJ9O8sUkDyZ5R3f+4iR3J3m4+3nR9MuVJJ3NMHfozwDvrKqrgVcCv5nkauBm4FhVXQkc644lSXMyMNCr6omquq97/E3gIeBS4AbgSDfsCLBvWkVKkgYbaQ89yR7gFcC9wFJVPdE99SSwNNHKJEkjSVUNNzBZBP4eeF9V/VWSp6tq52nPn6yq79lHT3IAOACwtLS0d21tbTKVD6nf77O4uDjTNVuw3u+PNW/3xgYnFhZGnrfX92isntvv8c3yGt9qv1dXV9erannQuKECPclzgbuAT1XVH3bnvgysVNUTSXYBvaq66lyvs7y8XMePHx/qDzApvV6PlZWVma7ZgvR6Y8071O9zcIyLt3yPxuq5/R7fLK/xrfY7yVCBPsynXALcAjx0Ksw7dwL7u8f7gaPjFCpJmowdQ4x5NfDLwD8nub879x7g/cBtSW4CHgNunE6JkqRhDAz0qvoHIGd5+rrJliNJGpffFJWkRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktSIgYGe5GNJnkryhdPOXZzk7iQPdz8vmm6ZkqRBhrlD/3Pg+meduxk4VlVXAse6Y0nSHA0M9Kr6DPCfzzp9A3Cke3wE2DfhuiRJI0pVDR6U7AHuqqqXdsdPV9XO7nGAk6eOzzD3AHAAYGlpae/a2tpYha73+2PN272xwYmFhZHn7V1cHGu9Vtjv2Run5/Z7fLO8xrfa79XV1fWqWh40bsuB3h2frKqB++jLy8t1/PjxgeudsYZeb6x5h/p9Do7RzFpZGWu9Vtjv2Run5/Z7fLO8xrfa7yRDBfq4n3L5WpJd3UK7gKfGfB1J0oSMG+h3Avu7x/uBo5MpR5I0rmE+tviXwD8CVyU5keQm4P3A65I8DPxkdyxJmqMdgwZU1VvO8tR1E65FkrQFflNUkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhqxpUBPcn2SLyd5JMnNkypKkjS6sQM9yQLwEeCngauBtyS5elKFSZJGs5U79GuBR6rq0ar6DrAG3DCZsiRJo9pKoF8KfPW04xPdOUnSHOyY9gJJDgAHusN+ki9Pe83THYRLgK+POi9TqGU7sN+zZb9nb5yeT6DfPzbMoK0E+uPAZacd7+7O/T9VdRg4vIV1tiTJ8apantf62439ni37PXvnc8+3suXyWeDKJJcnuQB4M3DnZMqSJI1q7Dv0qnomyduATwELwMeq6sGJVSZJGsmW9tCr6hPAJyZUy7TMbbtnm7Lfs2W/Z++87Xmqat41SJImwK/+S1Ijmg/0JL+U5MEk301yXv5muiVJPpjkS0k+n+SOJDvnXVPrkvx+1+/7k/xtkh+dd03bQZJ3Jqkkl8y7llOaD3TgC8AvAJ+ZdyHbxN3AS6vqZcC/AO+ecz3bwQer6mVVdQ1wF/A78y6odUkuA14P/Nu8aznd1L9YNEtJ3gvsB55i81us61V1qHtunqU16Vz97twDvGketbVqiJ5fCPiLsQk5R78/BLwLODrH8r5HM4GeZC+bn4W/hs0/133A+lyLatiQ/f514NYZl9asc/U8yfuAXwH+C1idV40tOVu/k9wAPF5VD5xvN4otbbm8Brijqr5dVd/ALzlN2zn73d3ZPAN8fB7FNeqsPa+q91bVZWz2+23zKrAxZ+r3DwLv4Tzd1mop0HWeSPKrwBuAt5afi521jwO/OO8iGlbA5cADSb7C5j95cl+SF8+1qk5Lgf4ZYF+S5yd5AfBz8y6ocWfsd5Lr2dxbfGNVfXueBTbobD2/8rQxNwBfmkdxDTpTv/+7ql5UVXuqag+b/8rsj1fVk/Ms9JRm9tCr6r4ktwIPsPkLjM8CJPl54I+BFwJ/neT+qvqp+VXahrP1G/gT4AeAu7v9xXuq6jfmU2VbztHz9ye5Cvgu8BhgvyfgHP0+bzX7TdEkvwv0n/UJAE2J/Z49ez5b3w/9bmnLRZK2tWbv0CVpu/EOXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXifwGiklbfjKb92gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['q1', 'q2', 'q3', 'q4']\n",
    "y = [10, 30, 20, 60]\n",
    "plt.bar(x, y, color='c', width=0.3)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['q1', 'q2', 'q3', 'q4']\n",
    "y = [10, 30, 20, 60]\n",
    "rect = plt.bar(x, y, color='c', width=0.3)\n",
    "for ind, item in enumerate(rect):\n",
    "    _x = item.get_x() + 0.1\n",
    "    _y = item.get_height() + 2\n",
    "    plt.text(_x, _y, y[ind])\n",
    "plt.ylim(0, 70)     # y轴取值范围为0到70\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 饼状图--pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['q1', 'q2', 'q3', 'q4']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 30, 20, 60]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(y)        # 画饼状图只需要y值\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axes(aspect=1)        # 设置为正圆\n",
    "plt.pie(y, labels=x, autopct='%.2f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axes(aspect=1)        # 设置为正圆\n",
    "plt.pie(y, labels=x, autopct='%.2f%%', explode=[0.2, 0, 0, 0])        # explode表示凸出\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axes(aspect=1)        # 设置为正圆\n",
    "plt.pie(y, labels=x, autopct='%.2f%%', explode=[0.2, 0, 0.1, 0], shadow=True)        # explode表示凸出\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
